Papers
Attract or Distract: Exploit the Margin of Open Set
Qianyu Feng, Guoliang Kang, Hehe Fan et al.
Attribute Attention for Semantic Disambiguation in Zero-Shot Learning
Yang Liu, Jishun Guo, Deng Cai et al.
Attribute-Driven Spontaneous Motion in Unpaired Image Translation
Ruizheng Wu, Xin Tao, Xiaodong Gu et al.
Attribute Manipulation Generative Adversarial Networks for Fashion Images
Kenan E. Ak, Joo Hwee Lim, Jo Yew Tham et al.
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Ning Yu, Larry S. Davis, Mario Fritz
AutoDispNet: Improving Disparity Estimation With AutoML
Tonmoy Saikia, Yassine Marrakchi, Arber Zela et al.
AutoFocus: Efficient Multi-Scale Inference
Mahyar Najibi, Bharat Singh, Larry S. Davis
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification
Hang Xu, Lewei Yao, Wei Zhang et al.
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong, Shiyu Chang, Yifan Jiang et al.
Automatic and Robust Skull Registration Based on Discrete Uniformization
Junli Zhao, Xin Qi, Chengfeng Wen et al.
Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification
Ruijie Quan, Xuanyi Dong, Yu Wu et al.
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi, Liheng Zhang, Chang Wen Chen et al.
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision
Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei et al.
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation
Mohammad Tavakolian, Hamed R. Tavakoli, Abdenour Hadid
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Zhiqin Chen, Kangxue Yin, Matthew Fisher et al.
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Tianlu Wang, Jieyu Zhao, Mark Yatskar et al.
Batch DropBlock Network for Person Re-Identification and Beyond
Zuozhuo Dai, Mingqiang Chen, Xiaodong Gu et al.
Batch Weight for Domain Adaptation With Mass Shift
Mikolaj Binkowski, Devon Hjelm, Aaron Courville
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement
Minyoung Kim, Yuting Wang, Pritish Sahu et al.
Bayesian Adaptive Superpixel Segmentation
Roy Uziel, Meitar Ronen, Oren Freifeld
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition
Rui Zhao, Kang Wang, Hui Su et al.
Bayesian Loss for Crowd Count Estimation With Point Supervision
Zhiheng Ma, Xing Wei, Xiaopeng Hong et al.
Bayesian Optimized 1-Bit CNNs
Jiaxin Gu, Junhe Zhao, Xiaolong Jiang et al.
Bayesian Relational Memory for Semantic Visual Navigation
Yi Wu, Yuxin Wu, Aviv Tamar et al.
Better and Faster: Exponential Loss for Image Patch Matching
Shuang Wang, Yanfeng Li, Xuefeng Liang et al.